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US10295986B2ActiveUtilityPatentIndex 79

Numerical controller

Assignee: FANUC CORPPriority: Sep 6, 2016Filed: Aug 31, 2017Granted: May 21, 2019
Est. expirySep 6, 2036(~10.2 yrs left)· nominal 20-yr term from priority
Inventors:SAITOU TAKUYAMATSUKAWA TOSHINORI
G05B 2219/32416G06N 3/084G05B 19/19G06N 20/00G05B 19/4065G05B 2219/49307G05B 2219/33321G05B 19/40932G05B 19/406G06N 99/005
79
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7
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References
2
Claims

Abstract

A numerical controller which controls a machine tool acquires tool information including a shape of a tool, a machining condition in machining, and information related to a machining result of a workpiece after machining. A machine learning device performs machine learning on tendency of the information related to a machining result with respect to the tool information and the machining condition based on the tool information and the machining condition used as input data and based on the information related to a machining result used as teacher data, so as to construct a learning model. The machine learning device determines whether or not a machining result is good by using the learning model based on the tool information and the machining condition before the machine tool machines a workpiece.

Claims

exact text as granted — not AI-modified
The invention claimed is: 
     
       1. A numerical controller which controls a machine tool machining workpiece with a tool, the numerical controller configured to:
 acquire tool information including a shape of the tool; 
 acquire a machining condition in the machining of the workpiece; and 
 acquire information related to a machining result of the workpiece after the machining of the workpiece; and 
 wherein the numerical controller comprises a machine learning device which performs machine learning on tendency of the information related to a machining result with respect to the tool information and the machining condition based on the tool information and the machining condition used as input data and based on the information related to a machining result used as teacher data, so as to construct a learning model, and wherein 
 the machine learning device is configured to determine whether or not a machining result is good by using the constructed learning model based on the tool information acquired by the shape data acquisition unit and the machining condition acquired by the machining condition acquisition unit, before the machine tool machines the workpiece. 
 
     
     
       2. The numerical controller according to  claim 1 , wherein the machine learning device constructs a learning model by a multilayer neural network.

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